Evidence map›Paper›PMID 38790598›Full record

ArticleChildren (Basel, Switzerland)2024

Participation as a Predictor of Quality of Life among Japanese Children with Neurodevelopmental Disorders Analyzed Using a Machine Learning Algorithm.

Hiroyasu Shiozu, Daisuke Kimura, Ryoichiro Iwanaga, Shigeki Kurasawa

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hiroyasu ShiozuDepartment of Occupational Therapy, College of Life and Health Sciences, Chubu University, Kasugai 487-8501, Japan.ORCID 0000-0002-8188-4754
Daisuke KimuraDepartment of Occupational Therapy, Faculty of Medical Science, Nagoya Woman's University, Nagoya 467-8610, Japan.
Ryoichiro IwanagaDepartment of Occupational Therapy Sciences, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8520, Japan.
Shigeki KurasawaDepartment of Occupational Therapy, School of Health Sciences, Fukushima Medical University, Fukushima 960-1295, Japan.

Funding

JSPS KAKENHI 23K02581
6 · The paper itself

Abstract

Participation is important for children's quality of life (QOL). This study aimed to identify participation factors that influence QOL among Japanese children with neurodevelopmental disorders. Ninety-two Japanese parents of children with neurodevelopmental disorders participated in this study. The parents completed the parent version of the Kid- and Kiddo-KINDL health-related QOL questionnaire and the Participation and Environment Measure for Children and Youth. The data were examined using the random forest algorithm to analyze the participation factors that affected the children's QOL. The analyses revealed that school and community environmental factors that affected participation were the most important predictors of QOL among children. As school and community environments can significantly impact the QOL of children with neurodevelopmental disorders, greater focus should be placed on participation in environmental contexts.

Indexed as

childrenneurodevelopmental disorderparticipationQOLrandom forest analysiswell-being

Identifiers

PMID38790598
PMCPMC11119913

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.